Operations Engineering (OE)
NSF funds fundamental operations engineering research on analytical methods for improving decision-making in complex engineering applications, for eligible applicants broadly.
⚑ No deadline stated (continuing submission). · Methodological research must be strongly motivated by high-potential engineering applications; purely abstract methods are not appropriate.
This is a plausible fit for the team’s risk, decision, and survey/communication work if framed around decision-making under uncertainty in public safety, energy, or environment, especially with quantitative modeling tied to warnings, siting, or public response. It is not their core programmatic home, but it is close enough to their applied risk-analysis line to be a realistic PI-level pursuit.
JUDGED AGAINST THE ROSTER'S PUBLICATION DOSSIER · GPT-5.4-MINI · 2026-07-07
Unit fits — one characterization, each unit's own rules
| Physical Sciences & Engineering (demo) | 90 strong | technical depth: central; funds basic research |
| IPPRA | 58 good | portfolio topics: public_health, environment, energy; social/behavioral work is minor; funds basic research |
| Tom Love Innovation Hub | 30 weak | prototyping/demonstration stage; deep-tech content |
Description
The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program.
PIs are encouraged to send any program inquiries to both Program Directors.
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View on Grants.gov → CONTACT: National Science Foundation <grantsgovsupport@nsf.gov>
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